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Recent Advances in Computational Optimization = Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Recent Advances in Computational Optimization/ edited by Stefka Fidanova.
其他題名:	Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 /
其他作者:	Fidanova, Stefka.
面頁冊數:	X, 237 p. 114 illus., 65 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-22723-4
ISBN:	9783030227234

Recent Advances in Computational Optimization = Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 /
Recent Advances in Computational OptimizationResults of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 /[electronic resource] :edited by Stefka Fidanova. - 1st ed. 2020. - X, 237 p. 114 illus., 65 illus. in color.online resource. - Studies in Computational Intelligence,8381860-949X ;. - Studies in Computational Intelligence,564.

Preface -- Organization -- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks -- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and ﬁeld response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations -- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc.

The book presents a comprehensive collection of extended contributions from the Workshops on Computational Optimization and Numerical Search and Optimization 2018. Our everyday life is unthinkable without optimization as we try to minimize our effort while maximizing profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. The book discusses recent advances in computational optimization to address important real-world problems like modeling of physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environment. It shows readers how to develop algorithms for these problems based on new intelligent methods like evolutionary computations, ant colony optimization, and constraint programming, and demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.

ISBN: 9783030227234

Standard No.: 10.1007/978-3-030-22723-4doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Recent Advances in Computational Optimization = Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 /
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